About David Energy

David Energy is creating a new kind of power company. We offer cheaper and cleaner energy than traditional Retail Electricity Providers (REPs) can, and we do so economically because we can tap into renewable supply (e.g. solar) and controllable capacity (e.g. batteries) anywhere it exists, including "behind" customers’ electricity meters. We’re a series A company aiming to run the grid on clean energy 24/7/365.

We’re rapidly scaling our "Beat the Utility" product which guarantees small commercial customers that their total electric spend will be less than their incumbent utility. We can make this guarantee because our technology and risk management unlock value that is not available to the utility. We're currently operating in NYC (NYISO Zone J) and scaling toward hundreds of new customer locations per month, with plans to expand to additional zones and ISOs across the Northeast.

We are looking for a senior data scientist to own analyses and data analytics around our growing network of energy assets in concert with real-time energy markets. By shifting the energy usage of our customers to align with the cheapest and cleanest wholesale energy available, we can offer dramatically lower rates with much cleaner energy. Making those decisions automatically at scale requires excellent data science.

In this role, you will

• Solve complex business problems (e.g., cost allocation, error detection, data imputation) to deliver insights that advance business initiatives

• Own and evolve our data ecosystem (Snowflake + dbt) and ensure data is accurate and well-structured

• Work with cross-functional teams to identify data needs, define metrics, and establish reporting frameworks

• Contribute to the strategic planning process by presenting findings and recommendations to stakeholders across the company

• Identify opportunities for process improvements and lead initiatives to increase operational accuracy and efficiency

• Design and establish a company culture of rigorous, data-informed decision making

We invite you to apply for this role if you have

• Clear communication skills with people at all levels of technical ability

• 5+ years of work experience delivering data analytics and analyses with demonstrated impact

• Fluency in SQL

• Ability to deliver in an early-stage startup environment (e.g., proactive ownership, independence in uncertainty)

You could be an especially great fit if you have

• Bachelor’s in a quantitative field (e.g., physics, statistics, mathematics, economics)

• Experience with dbt

• Experience with Python

• Experience in energy trading, grid operations, or deregulated energy markets (namely, ERCOT, ISO-NE, NYISO, or PJM)

Benefits:

• $160,000 plus equity, depending on experience

• Group medical and dental insurance

• Flexible vacation/PTO policy

• 401(k) plan

• Hybrid office culture, with team members remote and working from our offices in New York City